Description
Wavelets in Neuroscience (2nd Ed., 2nd ed. 2021)
Springer Series in Synergetics Series
Authors: Hramov Alexander E., Koronovskii Alexey A., Makarov Valeri A., Maksimenko Vladimir A., Pavlov Alexey N., Sitnikova Evgenia
Language: EnglishSubject for Wavelets in Neuroscience:
Approximative price 168.79 €
In Print (Delivery period: 15 days).
Add to cart the book of Hramov Alexander E., Koronovskii Alexey A., Makarov Valeri A., Maksimenko Vladimir A., Pavlov Alexey N., Sitnikova EvgeniaPublication date: 06-2022
384 p. · 15.5x23.5 cm · Paperback
Approximative price 168.79 €
In Print (Delivery period: 15 days).
Add to cart the print on demand of Hramov Alexander E., Koronovskii Alexey A., Makarov Valeri A., Maksimenko Vladimir A., Pavlov Alexey N., Sitnikova EvgeniaPublication date: 06-2021
Support: Print on demand
Description
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This book illustrates how modern mathematical wavelet transform techniques offer fresh insights into the complex behavior of neural systems at different levels: from the microscopic dynamics of individual cells to the macroscopic behavior of large neural networks. It also demonstrates how and where wavelet-based mathematical tools can provide an advantage over classical approaches used in neuroscience. The authors well describe single neuron and populational neural recordings.
This 2nd edition discusses novel areas and significant advances resulting from experimental techniques and computational approaches developed since 2015, and includes three new topics:
? Detection of fEPSPs in multielectrode LFPs recordings.
? Analysis and Real-time Classification of Motor-related EEG Patterns;
The book is a valuable resource for neurophysiologists and physicists familiar with nonlinear dynamical systems and data processing, as well as for graduate students specializing in these and related areas.
Mathematical Methods of Signal Processing in Neuroscience.- Brief Tour of Wavelet Theory.- Analysis of Single Neuron Recordings.- Classification of Neuronal Spikes from Extracellular Recordings.- Analysis of Gamma-Waves in Multielectrode LFP Recordings.- Wavelet Approach to the Study of Rhythmic Neuronal Activity.- Wavelet-based Approach to Epilepsy.- Analysis of Visual Sensory Processing in the Brain and Brain-Computer Interfaces for Human Attention Control.- Analysis and Real-Time Classification of Motor-related EEG and MEG Patterns.- Conclusion.
Illustrates how the wavelet transform provides new insights into the complex behavior of neural systems
Includes the latest topics relevant for a broad audience working in experimental and computational neuroscience
Features a self-contained introduction and review of an emerging topic
Suitable as graduate-level text for non-specialists and students
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